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KN(owl)edge
The Linked Data Platform at Kuehne + Nagel
Thomas Kaleske, Senior Integration Architect, Kuehne + Nagel
SEMANTiCS 2016, 12-15 September 2016, Leipzig, Germany
p. 28/15/2016© Kuehne + Nagel SEMANTiCS 2016
Agenda
Introduction and Overview
Live Demo
Challenges and Success Factors
Q & A
p. 38/15/2016© Kuehne + Nagel SEMANTiCS 2016
Agenda
Introduction and Overview
Live Demo
Challenges and Success Factors
Q&A
Semantic Web @ Kuehne + Nagel
What makes the story interesting
Kuehne + Nagel’s first semantic web application will manage the incident
communication for mission critical applications
Semantic Web gets mission critical
Top Level Management is aware about it
Semantic Web is used for Global Knowledge Management
p. 48/15/2016© Kuehne + Nagel SEMANTiCS 2016
Short History
of semantic web at Kuehne + Nagel
~ 2014 Idea of Semantic Web for EAM
Experiments with Protégé and semantic media wiki
Oct15-Jan16 Evaluation of Semantic Web for EAM
Evaluation of semantic web for incident impact analysis (student project)
Feb 2016 Internal Project of the Month
Internal presentation of semantic web with a prototype for incident communication
Apr 2016 ”Boundaryless EAM with Semantic Web Tools”
Project presentation at the Open Group London Event and Members Meeting
May-July 2016 KN Semantic Web Platform
Evaluation of linked data platform topics (student project)
May-Dec 2016 Incident Collaboration Project
Implementation of the first semantic web application at Kuehne + Nagel
Sep 2016 “KN(owl)edge – the Linked Data Platform at Kuehne + Nagel”
Presentation of the KN semantic web platform at the SEMANTiCS 2016
p. 58/15/2016© Kuehne + Nagel SEMANTiCS 2016
KN(owl)edge Databases
KN(owl)edge
Vision and High Level Architecture
…
… further KN Linked Data Sources
Knowledge
Engineer
Semantic
Faceted
Search
Semantic
KN Glossary
(Terminology)
Meta Ontology
Service
Catalog
KN(owl)edge Components Semantic Web
Visualization
RDF Data
Import
Incident
Collaboration Tool
Incident
Impact DB
… further KN Semantic
Web Applications
Interface
Catalog
KN(owl)edge Ontologies
Support
Directory
Decision
Matrix
Core Ontologies
Datasets
Authentication
SAML (SSO)
Administration
(ACL, …)
(ORG, ARCH, ITIL)
(persons, regions , customers, …)
Clustered / Single Node / Mobile Triple Stores
x
x
© Kuehne + Nagel SEMANTiCS 2016 p. 68/15/2016
RDF
Access
Control
RDF
Table Editor
A..Z
Person
Master
Data
Customer
Incident Collaboration Tool
The user story
p. 78/15/2016© Kuehne + Nagel SEMANTiCS 2016
Help Desk
Incident Manager
Incident
Collaboration
Tool
“The Incident Manager wants to
know, whom he should inform in
case of an (severity 1) incident”
IT Support Super User Business Manager IT Manager Client Contact
…
Incident Communication
Incident
@ SMS
KN(owl)edge Ontologies
Role model
Use of blank nodes for N-ARY relations
p. 88/15/2016© Kuehne + Nagel SEMANTiCS 2016
Role
Org Unit
Geo
Location
hasRole
Person
Application
e.g.
CEO, Board Member
CIO, Board Member
Super User
Manager
IT
Sea Freight
Contract Logistics
Global, Global
North America
Germany
SALOG
:
:
withPerson
KN(owl)edge Components
Selective key components
• Semantic Faceted Search
faceted search like used by modern
web sites (Amazon, eBay, Linkedin, …)
based on semantic web data
• RDF Table Editor
excel-like table editing for semantic
web data (RDF)
p. 98/15/2016© Kuehne + Nagel SEMANTiCS 2016
p. 108/15/2016© Kuehne + Nagel SEMANTiCS 2016
Agenda
Live Demo
Introduction and Overview
Challenges and Success Factors
Q&A
p. 118/15/2016© Kuehne + Nagel SEMANTiCS 2016
Agenda
Challenges and Success Factors
Introduction and Overview
Live Demo
Q&A
Key Challenges
What issues did we discover
semantic web experts are rare
data quality
JavaScript framework (there are many)
blank nodes are tricky
OWL model agility / generalization / partitioning / cross referencing
SPARQL queries (COUNT, OPTIONAL, UNION, …)
… The Undiscovered Country
p. 128/15/2016© Kuehne + Nagel SEMANTiCS 2016
Critical Success Factors
What are key things to consider
Have a semantic web vision and communicate it
Have management support (top level sponsor, line management support)
Implement a data governance approach
Be use case focused (there is no one fits all)
Provide business value
p. 138/15/2016© Kuehne + Nagel SEMANTiCS 2016
p. 148/15/2016© Kuehne + Nagel SEMANTiCS 2016
Agenda
Challenges and Success Factors
Introduction and Overview
Live Demo
Q&A
Thank you !
Any further questions?
8/15/2016 p. 15© Kuehne + Nagel SEMANTiCS 2016

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Thomas Kaleske | KN(owl)edge – the Linked Data Platform at Kuehne + Nagel

  • 1. KN(owl)edge The Linked Data Platform at Kuehne + Nagel Thomas Kaleske, Senior Integration Architect, Kuehne + Nagel SEMANTiCS 2016, 12-15 September 2016, Leipzig, Germany
  • 2. p. 28/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Introduction and Overview Live Demo Challenges and Success Factors Q & A
  • 3. p. 38/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Introduction and Overview Live Demo Challenges and Success Factors Q&A
  • 4. Semantic Web @ Kuehne + Nagel What makes the story interesting Kuehne + Nagel’s first semantic web application will manage the incident communication for mission critical applications Semantic Web gets mission critical Top Level Management is aware about it Semantic Web is used for Global Knowledge Management p. 48/15/2016© Kuehne + Nagel SEMANTiCS 2016
  • 5. Short History of semantic web at Kuehne + Nagel ~ 2014 Idea of Semantic Web for EAM Experiments with Protégé and semantic media wiki Oct15-Jan16 Evaluation of Semantic Web for EAM Evaluation of semantic web for incident impact analysis (student project) Feb 2016 Internal Project of the Month Internal presentation of semantic web with a prototype for incident communication Apr 2016 ”Boundaryless EAM with Semantic Web Tools” Project presentation at the Open Group London Event and Members Meeting May-July 2016 KN Semantic Web Platform Evaluation of linked data platform topics (student project) May-Dec 2016 Incident Collaboration Project Implementation of the first semantic web application at Kuehne + Nagel Sep 2016 “KN(owl)edge – the Linked Data Platform at Kuehne + Nagel” Presentation of the KN semantic web platform at the SEMANTiCS 2016 p. 58/15/2016© Kuehne + Nagel SEMANTiCS 2016
  • 6. KN(owl)edge Databases KN(owl)edge Vision and High Level Architecture … … further KN Linked Data Sources Knowledge Engineer Semantic Faceted Search Semantic KN Glossary (Terminology) Meta Ontology Service Catalog KN(owl)edge Components Semantic Web Visualization RDF Data Import Incident Collaboration Tool Incident Impact DB … further KN Semantic Web Applications Interface Catalog KN(owl)edge Ontologies Support Directory Decision Matrix Core Ontologies Datasets Authentication SAML (SSO) Administration (ACL, …) (ORG, ARCH, ITIL) (persons, regions , customers, …) Clustered / Single Node / Mobile Triple Stores x x © Kuehne + Nagel SEMANTiCS 2016 p. 68/15/2016 RDF Access Control RDF Table Editor A..Z Person Master Data Customer
  • 7. Incident Collaboration Tool The user story p. 78/15/2016© Kuehne + Nagel SEMANTiCS 2016 Help Desk Incident Manager Incident Collaboration Tool “The Incident Manager wants to know, whom he should inform in case of an (severity 1) incident” IT Support Super User Business Manager IT Manager Client Contact … Incident Communication Incident @ SMS
  • 8. KN(owl)edge Ontologies Role model Use of blank nodes for N-ARY relations p. 88/15/2016© Kuehne + Nagel SEMANTiCS 2016 Role Org Unit Geo Location hasRole Person Application e.g. CEO, Board Member CIO, Board Member Super User Manager IT Sea Freight Contract Logistics Global, Global North America Germany SALOG : : withPerson
  • 9. KN(owl)edge Components Selective key components • Semantic Faceted Search faceted search like used by modern web sites (Amazon, eBay, Linkedin, …) based on semantic web data • RDF Table Editor excel-like table editing for semantic web data (RDF) p. 98/15/2016© Kuehne + Nagel SEMANTiCS 2016
  • 10. p. 108/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Live Demo Introduction and Overview Challenges and Success Factors Q&A
  • 11. p. 118/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Challenges and Success Factors Introduction and Overview Live Demo Q&A
  • 12. Key Challenges What issues did we discover semantic web experts are rare data quality JavaScript framework (there are many) blank nodes are tricky OWL model agility / generalization / partitioning / cross referencing SPARQL queries (COUNT, OPTIONAL, UNION, …) … The Undiscovered Country p. 128/15/2016© Kuehne + Nagel SEMANTiCS 2016
  • 13. Critical Success Factors What are key things to consider Have a semantic web vision and communicate it Have management support (top level sponsor, line management support) Implement a data governance approach Be use case focused (there is no one fits all) Provide business value p. 138/15/2016© Kuehne + Nagel SEMANTiCS 2016
  • 14. p. 148/15/2016© Kuehne + Nagel SEMANTiCS 2016 Agenda Challenges and Success Factors Introduction and Overview Live Demo Q&A
  • 15. Thank you ! Any further questions? 8/15/2016 p. 15© Kuehne + Nagel SEMANTiCS 2016